Data warehousing seminar ppt

What are the 5 basic stages of the data warehousing process?
A data warehouse is a repository (data & metadata) that contains integrated, cleansed, and reconciled data from disparate sources for decision support applications, with an emphasis on online analytical processing.
Typically the data is multidimensional, historical, non volatile.
Data Warehouse Architecture.
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What is the best way to learn data warehousing?
Steps in Data Warehousing
Extraction of data – A large amount of data is gathered from various sources.Cleaning of data – Once the data is compiled, it goes through a cleaning process. Conversion of data – After being cleaned, the format is changed from the database to a warehouse format..

1. Operational data sources 2. Operational data store 3

1. Data warehouse is an integrated repository taken from multiple sourc… 2

1. Underestimation of resources of data loading 2

1. Introduction 2. History 3

What is a data warehousing course?

This introductory and conceptual course will help you understand the fundamentals of data warehousing

You’ll gain a strong understanding of data warehousing basics through industry examples and real-world datasets

Some have forecasted that the global data warehousing market is expected to reach over $50 billion in 2028